AI-based personalized e-learning systems: Issues, challenges, and solutions
A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …
compared to a conventional e-learning system, which provides similar contents to each …
Predicting student outcomes in online courses using machine learning techniques: A review
Recent years have witnessed an increased interest in online education, both massive open
online courses (MOOCs) and small private online courses (SPOCs). This significant interest …
online courses (MOOCs) and small private online courses (SPOCs). This significant interest …
A hybrid machine learning framework for predicting students' performance in virtual learning environment
E Evangelista - International Journal of Emerging Technologies in …, 2021 - learntechlib.org
Abstract Virtual Learning Environments (VLE), such as Moodle and Blackboard, store vast
data to help identify students' performance and engagement. As a result, researchers have …
data to help identify students' performance and engagement. As a result, researchers have …
Applications of Artificial Intelligence Models in Educational Analytics and Decision Making: A Systematic Review
Education plays a critical role in society as it promotes economic development through
human capital, reduces crime, and improves general well-being. In any country, especially …
human capital, reduces crime, and improves general well-being. In any country, especially …
Forecasting of post-graduate students' late dropout based on the optimal probability threshold adjustment technique for imbalanced data
CL Rodríguez Velasco… - … Journal of Emerging …, 2023 - repositorio.unic.co.ao
The purpose of this research article was to contrast the benefits of the optimal probability
threshold adjustment technique with other imbalanced data processing techniques, in its …
threshold adjustment technique with other imbalanced data processing techniques, in its …
The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search …
Hyperparameters play a critical role in analyzing predictive performance in machine
learning models. They serve to strike a balance between overfitting and underfitting of …
learning models. They serve to strike a balance between overfitting and underfitting of …
[PDF][PDF] Convolutional neural network for predicting student academic performance in intelligent tutoring system
F Alshaikh, N Hewahi - … Journal of Computing and Digital Systems, 2024 - researchgate.net
One of the most significant research areas in education and Artificial Intelligence (AI) is the
earlier prediction of students' academic achievement. Limited studies have been conducted …
earlier prediction of students' academic achievement. Limited studies have been conducted …
[PDF][PDF] Applications of artificial intelligence models in educational analytics and decision making: a systematic review
Education plays a critical role in society because it promotes economic development
through human capital, reduces crime, and improves overall well-being. In any country …
through human capital, reduces crime, and improves overall well-being. In any country …
Increasing the prediction power of moodle machine learning models with self-defined indicators
Starting with version 3.4 of Moodle, it has been possible to build educational ML models
using predefined indicators in the Analytics API. These models can be used primarily to …
using predefined indicators in the Analytics API. These models can be used primarily to …
Using artificial intelligence in education: decision tree learning results in secondary school students based on cold and hot executive functions
E Escolano-Perez, JL Losada - Humanities and Social Sciences …, 2024 - nature.com
Improving educational quality is a universal concern. Despite efforts made in this regard,
learning outcomes have not improved sufficiently. Therefore, further investigation is needed …
learning outcomes have not improved sufficiently. Therefore, further investigation is needed …